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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      74 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Python Fundamentals

      Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Corporate Foresight

      Skills you'll gain: Innovation, Forecasting, Strategic Thinking, Corporate Strategy, Strategic Decision-Making, Business Strategy, Organizational Strategy, Trend Analysis, Analysis, Market Opportunities, Organizational Change, Decision Making, Market Dynamics, Business Research

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Classification - Fundamentals & Practical Applications

      Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring the Lineage of Data with Cloud Data Fusion

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps

      Advanced · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Cloud Platforms, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Measuring and Maximizing Impact of COVID-19 Contact Tracing

      Skills you'll gain: Epidemiology, Infectious Diseases, Technical Communication, Exploratory Data Analysis, Public Health, Program Management, Data Analysis Software, Decision Support Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau - LOD Calculations

      Skills you'll gain: Dashboard, Tableau Software, Data Visualization Software, Exploratory Data Analysis, SQL, Data Analysis, Data Manipulation

      Advanced · Course · 1 - 3 Months

    • C

      Columbia University

      Causal Inference 2

      Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 3 Months

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    In summary, here are 9 of our most popular statistics courses

    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Python Fundamentals: Corporate Finance Institute
    • Corporate Foresight: Fundação Instituto de Administração
    • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
    • Exploring the Lineage of Data with Cloud Data Fusion: Google Cloud
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Measuring and Maximizing Impact of COVID-19 Contact Tracing: Johns Hopkins University
    • Advanced Tableau - LOD Calculations: Corporate Finance Institute
    • Causal Inference 2: Columbia University

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

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